Senior Software Engineer

Stanford's Graduate School of Business (GSB) has built a global reputation based on its immersive and innovative management programs. We provide students a transformative leadership experience, pushing the boundaries of knowledge with faculty research, and offering a portfolio of entrepreneurial and non-degree programs that deliver global impact. We invite you to be part of our mission of developing innovative, principled, and insightful leaders who change lives, change organizations, and change the world.

Success at the GSB is defined by The GSB Way - a commitment to shared purpose, community, and excellence in all that we do. We seek individuals who elevate themselves and those around them through the practice of academic candor, generous collaboration, and bringing curiosity and rigor to solving meaningful problems. At the GSB, impact means taking ownership and contributing to a purpose-driven, collaborative, and high-performing community in service to the institution’s mission.

The Digital Solutions department of the Stanford Graduate School of Business seeks a Senior Software Engineer who will work on several web applications and cloud platforms.

In this role, along with supporting operational activities, you will also have the opportunity to contribute towards all phases of a delivery project, including systems analysis, architecture and technical design, development, build & release, and maintenance. You will be expected to provide innovative technology solutions to grow and stabilize the technology platforms along with improving the processes. You are a self‑motivated, rapid learner, a seasoned thought partner, and an exceptional communicator with the ability to translate between business and technical partners.

• Design and develop complex applications, web solutions, and integrations that address business needs.
• Quickly assess new ideas for feasibility, value, data availability, security, cost, and operational needs. Build prototypes, validate assumptions with users, and recommend whether and how to proceed.
• Develop AI-enabled applications and workflows using appropriate models, APIs, retrieval techniques, and tools. Use AI development tools effectively while remaining accountable for code quality and correctness.
• Convert successful prototypes into secure, scalable production applications with automated testing, deployment pipelines, monitoring, and rollback capabilities.
• Incorporate security and privacy throughout development, including access controls, sensitive data protection, and safeguards against AI-specific risks.
• Own the application life cycle, including deployment, production support, documentation, maintenance, dependency and model upgrades, migration, and retirement.
• Oversee testing, debugging, and change control. Evaluate application and AI performance, reliability, output quality, latency, and cost, and address failures and regressions.
• Lead projects, troubleshoot complex problems, mentor engineers, establish standards, and contribute to long‑term technical planning. Evaluate emerging technologies through hands‑on experimentation and guide appropriate adoption.
• Collaborate with business users, analysts, QA, and distributed remote technical teams across time zones to improve processes and deliver value. Exemplify GSB principles of open, honest, and timely communication, personal ownership, and innovation.
• Perform other duties as assigned.

• Bachelor's degree in Computer Science, Software Engineering, or a related discipline and eight years of increasing responsibility in software development, or a combination of education and relevant experience.
• At least two years of sustained, hands‑on…